Influence of measurement errors and estimated parameters on combustion diagnosis

• Published in: Applied thermal engineering Vol. 26; no. 2; pp. 226 - 236
• Main Authors: Payri, F., Molina, S., Martín, J., Armas, O.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01-02-2006; Elsevier
• Subjects: Applied sciences; Diesel combustion; Energy; Energy. Thermal use of fuels; Engines and turbines; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Experimental diagnosis; Heat transfer; Measurement errors; Theoretical studies. Data and constants. Metering; Thermodynamic model; Experimental diagnosis; Measurement errors; Thermodynamic model; Diesel combustion; Diesel engine; Procedure; Combustion; Pressure; Thermodynamic model: Diesel combustion
• ISSN: 1359-4311
• DOI: 10.1016/j.applthermaleng.2005.05.006

Thermodynamic diagnosis models are valuable tools for the study of Diesel combustion. Inputs required by such models comprise measured mean and instantaneous variables, together with suitable values for adjustable parameters used in different submodels. In the case of measured variables, one may estimate the uncertainty associated with measurement errors; however, the influence of errors in model parameter estimation may not be so easily established on an experimental basis. In this paper, a simulated pressure cycle has been used along with known input parameters, so that any uncertainty in the inputs is avoided. Then, the influence of errors in measured variables and geometric and heat transmission parameters on the results of a diagnosis combustion model for direct injection diesel engines have been studied. This procedure allowed to establish the relative importance of these parameters and to set limits to the maximal errors of the model, accounting for both the maximal expected errors in the input parameters and the sensitivity of the model to those errors.